{"title":"Political culture and the resource curse: public sector corruption across the United States","authors":"Marc S. Mentzer","doi":"10.1108/srj-09-2023-0508","DOIUrl":null,"url":null,"abstract":"<h3>Purpose</h3>\n<p>This study aims to examine the connection between political culture and public sector corruption, using the typology of Daniel Elazar, whose model traces the types of political cultures to their origins in various regions of England. Similarly, the “resource curse” concept, generally treated as a national-level phenomenon, is examined to assess how it might vary among jurisdictions within a country.</p><!--/ Abstract__block -->\n<h3>Design/methodology/approach</h3>\n<p>Regression analysis was applied to data from the 50 states of the US. Public sector corruption in each state was operationalized as the number of convictions by the Public Integrity Section of the US Department of Justice in relation to the number of public sector employees in that state.</p><!--/ Abstract__block -->\n<h3>Findings</h3>\n<p>Among the 50 states of the US, support was found for the association between political culture and public sector corruption. On the other hand, whether a state’s economy was dominated by natural resource extraction was not related to public sector corruption. This latter finding suggests the “resource curse” phenomenon does not cause corruption to be worse in states with resource-dependent economies.</p><!--/ Abstract__block -->\n<h3>Research limitations/implications</h3>\n<p>Although it is appropriate to apply regression analysis to a data set of the 50 US states, the small size of the data set limited the number of predictor variables that could be examined. Alternative research approaches are discussed, and it is conceivable that another analytical technique might have revealed other predictors that affect the occurrence of corruption.</p><!--/ Abstract__block -->\n<h3>Originality/value</h3>\n<p>While numerous studies have examined the impact of political culture and resource orientation on corruption at the national level, the current study examines how these variables affect corruption at the level of subnational jurisdictions within a major developed country, the United States.</p><!--/ Abstract__block -->","PeriodicalId":47615,"journal":{"name":"Social Responsibility Journal","volume":"214 1","pages":""},"PeriodicalIF":2.9000,"publicationDate":"2024-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Social Responsibility Journal","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1108/srj-09-2023-0508","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MANAGEMENT","Score":null,"Total":0}
引用次数: 0
Abstract
Purpose
This study aims to examine the connection between political culture and public sector corruption, using the typology of Daniel Elazar, whose model traces the types of political cultures to their origins in various regions of England. Similarly, the “resource curse” concept, generally treated as a national-level phenomenon, is examined to assess how it might vary among jurisdictions within a country.
Design/methodology/approach
Regression analysis was applied to data from the 50 states of the US. Public sector corruption in each state was operationalized as the number of convictions by the Public Integrity Section of the US Department of Justice in relation to the number of public sector employees in that state.
Findings
Among the 50 states of the US, support was found for the association between political culture and public sector corruption. On the other hand, whether a state’s economy was dominated by natural resource extraction was not related to public sector corruption. This latter finding suggests the “resource curse” phenomenon does not cause corruption to be worse in states with resource-dependent economies.
Research limitations/implications
Although it is appropriate to apply regression analysis to a data set of the 50 US states, the small size of the data set limited the number of predictor variables that could be examined. Alternative research approaches are discussed, and it is conceivable that another analytical technique might have revealed other predictors that affect the occurrence of corruption.
Originality/value
While numerous studies have examined the impact of political culture and resource orientation on corruption at the national level, the current study examines how these variables affect corruption at the level of subnational jurisdictions within a major developed country, the United States.
期刊介绍:
The Social Responsibility Journal, the official journal of the Social Responsibility Research Network, is interdisciplinary in its scope and encourages submissions from any discipline or any part of the world which addresses any element of the journal''s aims. The journal encompasses the full range of theoretical, methodological and substantive debates in the area of social responsibility. Contributions which address the link between different disciplines and / or implications for societal, organisational or individual behavior are especially encouraged. The journal publishes theoretical and empirical papers, speculative essays and review articles. The journal also publishes special themed issues under the guidance of a guest editor. Coverage: Accountability and accounting- Issues concerning sustainability- Economy and finance- Governance- Stakeholder interactions- Ecology and environment- Corporate activity and behaviour- Ethics and morality- Governmental and trans-governmental regulation- Globalisation and disintermediation- Individuals and corporate citizenship- Transparency and disclosure- Consumption and its consequences- Corporate and other forms of organization